Triple
T10746441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ylenia Carrisi |
E253461
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Al Bano |
E249246
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Al Bano | Statement: [Ylenia Carrisi, father, Al Bano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Bano Context triple: [Ylenia Carrisi, father, Al Bano]
-
A.
Al Bano
chosen
Al Bano is an Italian singer, actor, and winemaker best known as half of the popular musical duo Al Bano & Romina Power.
-
B.
Al Bano and Romina Power
Al Bano and Romina Power are an Italian-American pop music duo, famous from the 1970s and 1980s for their romantic songs and performances across Europe.
-
C.
Timbiriche
Timbiriche is a famous Mexican pop music group formed in the early 1980s that became one of Latin America's most successful teen bands.
-
D.
Shangri-La Music
Shangri-La Music is an independent record label known for releasing alternative and indie rock music, including projects by collaborative supergroups.
-
E.
Tell Basta
Tell Basta is an archaeological site in the Nile Delta of Egypt that preserves the remains of the ancient city of Bubastis, once a major cult center of the cat goddess Bastet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b85d9c8190a66f536e2f22ed04 |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e482f327e48190ad087c232fd05609 |
completed | April 19, 2026, 7:23 a.m. |
Created at: April 8, 2026, 9:15 p.m.